Job Description
We are Startup Bakery, an Italian startup studio that builds B2B SaaS companies from scratch.
We design and develop products that combine a simple and intuitive user experience, data-driven processes, and Artificial Intelligence, following a lean approach and focusing on solutions that generate real value and a positive impact on people and the planet π.
How we work
π‘ Trust & initiative β take ownership, experiment, and donβt be afraid of making mistakes.
π± Work-life balance β results matter, not working hours.
π‘ Flexibility β work remotely or join us at our Milan HQ whenever collaboration (and fun!) is needed.
We are looking for an experienced Data Engineer with strong technical leadership skills and hands-on experience in data infrastructure projects to collaborate on an innovative project developed by Startup Bakery.
Key responsibilities
- Design and oversee end-to-end data architecture (ingestion, transformation, storage, consumption) on cloud platforms (e.g. AWS, GCP, Azure).
- Coordinate and develop scalable and reliable data pipelines collecting data from IoT devices and other sources.
- Collaborate closely with Data Scientists and Machine Learning Engineers to ensure predictive models and analytics are efficient, production-ready, and reproducible.
- Ensure data quality, governance, and security, including the definition of standards and best practices.
- Contribute to the design of dashboards and reporting systems to provide actionable insights for agronomists and internal teams.
- Monitor data system performance, handle troubleshooting, and drive continuous optimization.
Must-have
- Degree in Computer Science, Engineering, Mathematics, or a related field.
- 4+ years of experience in Data Engineering roles (ETL/ELT, pipelines, data warehousing).
- Strong proficiency in data programming languages: Python and SQL (other languages are a plus).
- Experience with Elasticsearch.
- Familiarity with data modeling concepts, APIs, and IoT integrations.
- Ability to work independently and coordinate small development teams.
Nice-to-have
- Basic knowledge of MLOps and advanced analytics tools.
- Experience working in startups or fast-paced, scalable environments.
- Part-time freelance collaboration
- Remote-first, with optional access to our Milan office
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